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Molecular signatures of T-cell inhibition in HIV-1 infection

Overview of attention for article published in Retrovirology, March 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

news
1 news outlet
twitter
4 tweeters
patent
1 patent

Citations

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91 Dimensions

Readers on

mendeley
122 Mendeley
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Title
Molecular signatures of T-cell inhibition in HIV-1 infection
Published in
Retrovirology, March 2013
DOI 10.1186/1742-4690-10-31
Pubmed ID
Authors

Marie Larsson, Esaki M Shankar, Karlhans F Che, Alireza Saeidi, Rada Ellegård, Muttiah Barathan, Vijayakumar Velu, Adeeba Kamarulzaman

Abstract

Cellular immune responses play a crucial role in the control of viral replication in HIV-infected individuals. However, the virus succeeds in exploiting the immune system to its advantage and therefore, the host ultimately fails to control the virus leading to development of terminal AIDS. The virus adopts numerous evasion mechanisms to hijack the host immune system. We and others recently described the expression of inhibitory molecules on T cells as a contributing factor for suboptimal T-cell responses in HIV infection both in vitro and in vivo. The expression of these molecules that negatively impacts the normal functions of the host immune armory and the underlying signaling pathways associated with their enhanced expression need to be discussed. Targets to restrain the expression of these molecular markers of immune inhibition is likely to contribute to development of therapeutic interventions that augment the functionality of host immune cells leading to improved immune control of HIV infection. In this review, we focus on the functions of inhibitory molecules that are expressed or secreted following HIV infection such as BTLA, CTLA-4, CD160, IDO, KLRG1, LAG-3, LILRB1, PD-1, TRAIL, TIM-3, and regulatory cytokines, and highlight their significance in immune inhibition. We also highlight the ensemble of transcriptional factors such as BATF, BLIMP-1/PRDM1, FoxP3, DTX1 and molecular pathways that facilitate the recruitment and differentiation of suppressor T cells in response to HIV infection.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Brazil 2 2%
Japan 2 2%
Sweden 1 <1%
Malaysia 1 <1%
Spain 1 <1%
Unknown 111 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 27%
Student > Ph. D. Student 29 24%
Student > Master 21 17%
Student > Bachelor 10 8%
Professor > Associate Professor 6 5%
Other 16 13%
Unknown 7 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 39%
Immunology and Microbiology 19 16%
Medicine and Dentistry 19 16%
Biochemistry, Genetics and Molecular Biology 19 16%
Chemistry 2 2%
Other 6 5%
Unknown 9 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 December 2014.
All research outputs
#1,796,000
of 21,346,872 outputs
Outputs from Retrovirology
#73
of 1,029 outputs
Outputs of similar age
#15,495
of 175,994 outputs
Outputs of similar age from Retrovirology
#1
of 1 outputs
Altmetric has tracked 21,346,872 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,029 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 175,994 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them